Meta Platforms is publicly releasing five new AI models from its Fundamental AI Research (FAIR) team, which has been experimenting with artificial intelligence since 2013. These models including image-to-text, text-to-music generation, and multi-token prediction tools. Meta is introducing a new technique called AudioSeal, an audio watermarking technique designed for the localized detection of AI-generated speech. “AudioSeal makes it possible to pinpoint AI-generated segments within a longer audio snippet,” according to Meta. The feature is timely in light of concern about potential misinformation surrounding the fall presidential election. Continue reading Meta’s FAIR Team Announces a New Collection of AI Models

Meta Platforms has unveiled its first natively multimodal model, Chameleon, which observers say can make it competitive with frontier model firms. Although Chameleon is not yet released, Meta says internal research indicates it outperforms the company’s own Llama 2 in text-only tasks and “matches or exceeds the performance of much larger models” including Google’s Gemini Pro and OpenAI’s GPT-4V in a mixed-modal generation evaluation “where either the prompt or outputs contain mixed sequences of both images and text.” In addition, Meta calls Chameleon’s image generation “non-trivial,” noting that’s “all in a single model.” Continue reading Meta Advances Multimodal Model Architecture with Chameleon